Jobs at Databricks

Customer-facing senior engineer who architects, implements, and productionizes end-to-end data and AI solutions on Databricks. Responsibilities include Spark-based distributed data engineering, ML/AI model integration, CI/CD deployments, technical project delivery, stakeholder engagement, reusable assets creation, and providing product/implementation feedback.

Run and own AI-first sales development programs: design metrics, reporting, governance, adoption, and sequence management. Drive executive cadences, prioritize with sales leaders, build data foundations and field-facing reporting, and partner across AI Ops, Sales Ops, GTM Analytics, and Enablement to scale AI-native prospecting.

Lead GEO and AI search optimization to increase Databricks' visibility and citations across AI answer engines and organic search. Build experimentation programs, publish AI-citable technical content, maintain technical SEO health (schema, crawlability, Core Web Vitals), and partner cross-functionally to drive traffic, conversions, and pipeline while delivering executive reporting and a repeatable GEO playbook.

Lead and scale Databricks' global web marketing function: build a product-focused team, modernize web properties for humans and AI agents, implement personalization and testing, apply AI to automate web workflows, ensure machine-readable content and strong information architecture, drive analytics-informed growth, manage vendors, and coordinate global marketing efforts.

Design and maintain a skill and concept graph, build ML models to infer learner skills, and develop recommendation systems and LLM-driven features. Ship production-ready LLM systems, define explainability standards, partner with frontend and product teams, and monitor model performance and evaluation frameworks.

Build and lead a global Generative Engine Optimization function to increase Databricks visibility across AI answer engines and organic search. Own strategy, experimentation, measurement, technical SEO, cross-functional execution, and hiring to drive AI-referred traffic, conversions, and pipeline.

Serve as a customer-facing technical advisor for Databricks on Azure, designing and deploying secure, scalable enterprise architectures, building PoCs, automating infrastructure with IaC, and supporting pre/post-sales technical engagements while sharing knowledge through tutorials and community contributions.

Senior GTM leader for Databricks' Energy industry in AMER. Set AI vision with executives, drive GTM strategy and pipeline across oil & gas, power, renewables and mining, align cross-functional teams, produce thought leadership, and support customers through regular travel.

Lead end-to-end technical strategy and architecture for accounts, drive Databricks platform adoption, design scalable data and ML/streaming solutions, advise senior technical stakeholders, coordinate cross-functional teams, influence product direction, and support production deployments on public cloud.

The Emerging Enterprise Sales Leader will oversee a team focused on selling to the Emerging Enterprise Segment, driving revenue success, building strategic plans, and developing long-term customer relationships.

Lead and execute global finance programs, owning planning, intake, prioritization, and cross-functional delivery. Drive accounting process optimization, SOX control implementation, automation opportunities, reporting, executive communications, and metrics to improve Controllership operations.

Lead Databricks' global strategic partnership with Accenture, managing a global alliance team to grow revenue, scale the Accenture Databricks Business Group, drive joint go-to-market programs, executive engagement, training, repeatable IP investments, and joint customer adoption across AMER, EMEA and APAC.

As a Solutions Architect, you will lead technical initiatives, develop data solutions for customers, and collaborate on data engineering and machine learning projects.

Sell Databricks' cloud data and AI platform into a strategic pharmaceutical account, build executive relationships, manage long and short sales cycles, track pipeline in Salesforce, exceed revenue and activity targets, and drive customer satisfaction and adoption.

Partner with sales to design and implement big data and ML architectures on Databricks. Build proofs-of-concept, validate cloud and third-party integrations, advise customers on best practices, and promote open-source projects like Spark, Delta Lake, and MLflow.

Act as the field product manager for high-value AI engagements: partner with Sales to scope C-suite problems, define MVPs and PRDs, prioritize engineering backlogs, run agile delivery, lead launch and adoption, and hand off ongoing operations while proving ROI.

Lead a regional team of Lakebase Sales Specialists to grow Databricks Lakebase revenue by executing specialized sales motions, coaching specialists, building pipeline, engaging CIO/CTO and platform engineering buyers, running architecture workshops, partnering with account teams and partners, and providing field feedback to Product and GTM to scale adoption and drive application modernization.

Drive Lakebase adoption and revenue by qualifying opportunities, running multi-threaded sales cycles and POCs, engaging technical and executive stakeholders, partnering with AEs and solution architects, enabling field teams, and shaping territory plans to standardize Postgres and operational databases for AI-native applications.

Customer-facing engineer who designs, builds, and productionizes GenAI applications (RAG, multi-agent, Text2SQL, fine-tuning). Own production rollouts, advise customers, collaborate with product and engineering, present at conferences, and optimize/evaluate models and deployments across cloud platforms.

The GTM Digital Natives Program Leader will drive the commercial execution and strategy for Databricks' Digital Native vertical, collaborating with sales and engineering leaders to build and scale global programs, influence product roadmaps, and deliver measurable business outcomes in a SaaS context.